code: def test_keras_9_iris_unbounded(self):
      classifier = get_tabular_classifier_kr()
  
      # Recreate a classifier without clip values
      classifier = KerasClassifier(
          model=classifier._model, use_logits=False, channels_first=True
      )
      attack = ProjectedGradientDescent(
          classifier, eps=1.0, eps_step=0.2, max_iter=5, verbose=False
      )
      x_test_adv = attack.generate(self.x_test_iris)
      self.assertFalse((self.x_test_iris == x_test_adv).all())
      self.assertTrue((x_test_adv > 1).any())
      self.assertTrue((x_test_adv < 0).any())
  
      preds_adv = np.argmax(classifier.predict(x_test_adv), axis=1)
      self.assertFalse(
          (np.argmax(self.y_test_iris, axis=1) == preds_adv).all()
      )
      acc = (
          np.sum(preds_adv == np.argmax(self.y_test_iris, axis=1))
          / self.y_test_iris.shape[0]
      )
      logger.info(
          "Accuracy on Iris with PGD adversarial examples: %.2f%%",
          (acc * 100),
      )
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import unittest
  import numpy
  import tensorflow
  from art.attacks.evasion.projected_gradient_descent.projected_gradient_descent import ProjectedGradientDescent
  from art.attacks.evasion.projected_gradient_descent.projected_gradient_descent_numpy import ProjectedGradientDescentNumpy, ProjectedGradientDescentCommon
  from art.estimators.classification import KerasClassifier
  from art.estimators.estimator import BaseEstimator, LossGradientsMixin
  from art.utils import get_labels_np_array, random_targets
  from tests.attacks.utils import backend_test_classifier_type_check_fail
  from tests.utils import TestBase, get_image_classifier_kr, get_image_classifier_pt, get_image_classifier_tf, get_tabular_classifier_kr, get_tabular_classifier_pt, get_tabular_classifier_tf, master_seed
label_desc: Use image node_id 9 for calling the TestPGD obj's underlying member method code with example usage: obj.test_keras_9_iris_unbounded() without return types